Model comparison
Llama 3-8B vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 25.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 8.8.
Side by side
| Llama 3-8B | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 25.5 | 50.3 |
| Released | 2024-04-18 | 2026-09-21 |
| Weights | Open | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 34 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Llama 3-8B: 31.0 (#289), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1152 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| ALE-Bench | — | 1,158 |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3-8B: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning MiMo-V2.6-Pro leads
Llama 3-8B: 14.3 (#326), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1512 |
| CritPt | — | 26.6% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math MiMo-V2.6-Pro leads
Llama 3-8B: 8.8 (#323), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1151 | 1494 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| ProofBench | — | 70% |
| MATH Level 5 | 6.1% | — |
Knowledge MiMo-V2.6-Pro leads
Llama 3-8B: 7.8 (#308), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1113 | 1543 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multimodal Not comparable
Llama 3-8B: —, MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |
Multilingual MiMo-V2.6-Pro leads
Llama 3-8B: 30.8 (#261), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1098 | 1474 |
| LMArena Chinese | 1076 | 1529 |
| LMArena Russian | 1109 | 1480 |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Spanish | 1173 | — |
Instruction Following MiMo-V2.6-Pro leads
Llama 3-8B: 58.4 (#260), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1127 | 1493 |
Long Context MiMo-V2.6-Pro leads
Llama 3-8B: 34.2 (#251), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1128 | 1501 |
Writing & Preference MiMo-V2.6-Pro leads
Llama 3-8B: 37.5 (#256), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Llama 3-8B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1166 | 1492 |
| LMArena Creative Writing | 1150 | 1468 |
| LMArena Multi-Turn | 1152 | 1464 |
Frequently asked questions
Is Llama 3-8B better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 25.5 on the Noometry Index.
Is Llama 3-8B or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and MiMo-V2.6-Pro share?
12 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and MiMo-V2.6-Pro has 19.